Overview

Dataset statistics

Number of variables116
Number of observations79
Missing cells365
Missing cells (%)4.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory71.2 KiB
Average record size in memory923.3 B

Variable types

UNSUPPORTED101
CAT11
NUM4

Reproduction

Analysis started2021-04-26 01:47:45.423567
Analysis finished2021-04-26 01:49:16.308228
Duration1 minute and 30.88 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

Nome has a high cardinality: 78 distinct values High cardinality
Patient NAME has a high cardinality: 69 distinct values High cardinality
fmri_id has a high cardinality: 69 distinct values High cardinality
correlation_matrix has a high cardinality: 56 distinct values High cardinality
fmri_code has a high cardinality: 69 distinct values High cardinality
fMRI participant # is highly correlated with TrueFalseHigh correlation
TrueFalse is highly correlated with fMRI participant #High correlation
Patient NAME is highly correlated with Nome and 4 other fieldsHigh correlation
Nome is highly correlated with Patient NAME and 3 other fieldsHigh correlation
Comentários is highly correlated with Patient NAME and 3 other fieldsHigh correlation
fmri_id is highly correlated with Nome and 4 other fieldsHigh correlation
correlation_matrix is highly correlated with Nome and 4 other fieldsHigh correlation
fmri_code is highly correlated with Nome and 4 other fieldsHigh correlation
Group_cat is highly correlated with GroupHigh correlation
Group is highly correlated with Group_catHigh correlation
DX has 2 (2.5%) missing values Missing
FEZ QI has 4 (5.1%) missing values Missing
QI Nº has 2 (2.5%) missing values Missing
SIGNIFICADO has 2 (2.5%) missing values Missing
Ordem direta bruto has 2 (2.5%) missing values Missing
Span direto has 2 (2.5%) missing values Missing
Ordem inversa bruto has 2 (2.5%) missing values Missing
span inverso has 2 (2.5%) missing values Missing
CHAMAR fMRI? has 5 (6.3%) missing values Missing
FEZ fMRI? has 10 (12.7%) missing values Missing
DEV. has 5 (6.3%) missing values Missing
DATA NASC. has 3 (3.8%) missing values Missing
DATA INGR. has 3 (3.8%) missing values Missing
SEXO has 2 (2.5%) missing values Missing
IDADE (meses) has 2 (2.5%) missing values Missing
NOME DO RESPONSÁVEL has 2 (2.5%) missing values Missing
TEL1 has 2 (2.5%) missing values Missing
TEL 2 has 5 (6.3%) missing values Missing
CANHOTO has 5 (6.3%) missing values Missing
PESO (GRAMAS) has 2 (2.5%) missing values Missing
PREMATURO has 2 (2.5%) missing values Missing
INTERNAÇÃO PERINATAL has 2 (2.5%) missing values Missing
CAMINHAR (MESES) has 2 (2.5%) missing values Missing
FALAR (MESES) has 2 (2.5%) missing values Missing
PROBLEMAS DE SAÚDE has 4 (5.1%) missing values Missing
ÁUDIOMETRIA ALTERADA has 2 (2.5%) missing values Missing
OTITES has 3 (3.8%) missing values Missing
AV. OFTALMO. has 2 (2.5%) missing values Missing
UTI has 2 (2.5%) missing values Missing
USO ESPORÁDICO DE ÁLCOOL has 2 (2.5%) missing values Missing
USO ESPORÁDICO DE DROGAS has 2 (2.5%) missing values Missing
USO CRÔNICO DE ÁLCOOL has 2 (2.5%) missing values Missing
USO CRÔNICO DE DROGAS has 2 (2.5%) missing values Missing
USO CRÔNICO DE MEDICAM. has 2 (2.5%) missing values Missing
DX NEURO./PSIQ. has 2 (2.5%) missing values Missing
MEDIC. NEURO./PSIQ. has 2 (2.5%) missing values Missing
TX NEURO (ANT.) has 3 (3.8%) missing values Missing
TX NEURO (ATUAL) has 2 (2.5%) missing values Missing
TX PSIQ. (ANT.) has 3 (3.8%) missing values Missing
TX PSIQ. (ATUAL) has 2 (2.5%) missing values Missing
TX PSIC. (ANT.) has 3 (3.8%) missing values Missing
TX PSIC. (ATUAL) has 3 (3.8%) missing values Missing
TX FONO (ANT.) has 2 (2.5%) missing values Missing
TX FONO (ATUAL) has 2 (2.5%) missing values Missing
TX PSICOPED. (ANT) has 3 (3.8%) missing values Missing
TX PSICOPE. (ATUAL) has 3 (3.8%) missing values Missing
ESCOLA PÚBLICA has 3 (3.8%) missing values Missing
ANO ESCOLAR (ATUAL) has 2 (2.5%) missing values Missing
Nº DE REPETÊNCIAS has 2 (2.5%) missing values Missing
ID. DE INGRESSO ESC. (MESES) has 2 (2.5%) missing values Missing
ID. DE INÍCIO DA DIFICULDADE (MESES) has 2 (2.5%) missing values Missing
Nº DE SUSPENSÕES has 2 (2.5%) missing values Missing
Nº DE EXPULSÕES has 2 (2.5%) missing values Missing
BULLYING has 2 (2.5%) missing values Missing
DIFICUL. PARA LER has 2 (2.5%) missing values Missing
LEITURA LENTA has 2 (2.5%) missing values Missing
COMP. ORAL has 2 (2.5%) missing values Missing
DIFICUL. PARA ESCREVER has 2 (2.5%) missing values Missing
TROCA OU OMITE LETRAS has 2 (2.5%) missing values Missing
DIFICUL. COMPREENSÃO DA LEITURA has 2 (2.5%) missing values Missing
DIFICUL. MATEMÁTICA has 2 (2.5%) missing values Missing
DIFICUL. OUTRAS MATÉRIAS has 2 (2.5%) missing values Missing
NECESSITA DE AJUDA P/ ESTUDO has 2 (2.5%) missing values Missing
REFORÇO ESCOLAR has 2 (2.5%) missing values Missing
QX DESATENÇÃO has 3 (3.8%) missing values Missing
QX INQUIETUDE has 3 (3.8%) missing values Missing
QX IMPULSIVIDADE has 3 (3.8%) missing values Missing
HF de DE has 2 (2.5%) missing values Missing
HF de REPETÊNCIA has 2 (2.5%) missing values Missing
HF de EXPULSÕES/SUSPENSÕES has 2 (2.5%) missing values Missing
HF QX de DESATENÇÃO has 2 (2.5%) missing values Missing
HF QX de INQUIETUDE has 2 (2.5%) missing values Missing
HF QX de IMPULSIVIDADE has 2 (2.5%) missing values Missing
MORA C/ A MÃE has 2 (2.5%) missing values Missing
MORA C/ O PAI has 2 (2.5%) missing values Missing
MORA C/ O PADRASTO has 2 (2.5%) missing values Missing
MORA C/ A MADRASTA has 2 (2.5%) missing values Missing
MORA C/ ALGUM AVÔ/AVÓ has 2 (2.5%) missing values Missing
Nº DE IRMÃOS has 2 (2.5%) missing values Missing
Nº DE MORADORES NA CASA has 2 (2.5%) missing values Missing
Nº DE QUARTOS has 2 (2.5%) missing values Missing
FAMILIAR EM USO CRÔNICO DE ÁLCOOL has 2 (2.5%) missing values Missing
FAMILIAR EM USO CRÔNICO DE DROGAS has 2 (2.5%) missing values Missing
FAMILIAR C/ DIAGN. PSIQ. OU NEUROL. has 2 (2.5%) missing values Missing
FAMILIAR EM USO DE MEDIC. NEUROL. has 2 (2.5%) missing values Missing
RENDA MÉDIA MENSAL has 2 (2.5%) missing values Missing
FEZ FONO has 6 (7.6%) missing values Missing
FONOAUDIÓLOGA (NOME) has 2 (2.5%) missing values Missing
QUALI_GRAFIA has 4 (5.1%) missing values Missing
ESCR_COPIA has 4 (5.1%) missing values Missing
VEL_COPIA has 4 (5.1%) missing values Missing
ESCR_ORTO has 4 (5.1%) missing values Missing
ERRO_ORTO has 4 (5.1%) missing values Missing
ESCR_PROD has 4 (5.1%) missing values Missing
LEIT_PRECIS has 4 (5.1%) missing values Missing
ERRO_PRECIS has 4 (5.1%) missing values Missing
VEL_PRECIS (PAL/MIN) has 4 (5.1%) missing values Missing
LEIT_VIA has 6 (7.6%) missing values Missing
LEIT_FLU has 4 (5.1%) missing values Missing
LEIT_FLUENC_S has 5 (6.3%) missing values Missing
LEIT_FLUENC_O has 4 (5.1%) missing values Missing
LEIT_COMPR has 4 (5.1%) missing values Missing
DISLEXIA has 4 (5.1%) missing values Missing
QI has 38 (48.1%) missing values Missing
Comentários has 31 (39.2%) missing values Missing
correlation_matrix has 16 (20.3%) missing values Missing
Nome is uniformly distributed Uniform
Patient NAME is uniformly distributed Uniform
Comentários is uniformly distributed Uniform
fmri_id is uniformly distributed Uniform
correlation_matrix is uniformly distributed Uniform
fmri_code is uniformly distributed Uniform
DX is an unsupported type, check if it needs cleaning or further analysis Unsupported
FEZ QI is an unsupported type, check if it needs cleaning or further analysis Unsupported
QI Nº is an unsupported type, check if it needs cleaning or further analysis Unsupported
Ordem direta bruto is an unsupported type, check if it needs cleaning or further analysis Unsupported
Span direto is an unsupported type, check if it needs cleaning or further analysis Unsupported
Ordem inversa bruto is an unsupported type, check if it needs cleaning or further analysis Unsupported
span inverso is an unsupported type, check if it needs cleaning or further analysis Unsupported
CHAMAR fMRI? is an unsupported type, check if it needs cleaning or further analysis Unsupported
FEZ fMRI? is an unsupported type, check if it needs cleaning or further analysis Unsupported
DEV. is an unsupported type, check if it needs cleaning or further analysis Unsupported
DATA NASC. is an unsupported type, check if it needs cleaning or further analysis Unsupported
DATA INGR. is an unsupported type, check if it needs cleaning or further analysis Unsupported
SEXO is an unsupported type, check if it needs cleaning or further analysis Unsupported
IDADE (meses) is an unsupported type, check if it needs cleaning or further analysis Unsupported
NOME DO RESPONSÁVEL is an unsupported type, check if it needs cleaning or further analysis Unsupported
TEL1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
TEL 2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
CANHOTO is an unsupported type, check if it needs cleaning or further analysis Unsupported
PESO (GRAMAS) is an unsupported type, check if it needs cleaning or further analysis Unsupported
PREMATURO is an unsupported type, check if it needs cleaning or further analysis Unsupported
INTERNAÇÃO PERINATAL is an unsupported type, check if it needs cleaning or further analysis Unsupported
CAMINHAR (MESES) is an unsupported type, check if it needs cleaning or further analysis Unsupported
FALAR (MESES) is an unsupported type, check if it needs cleaning or further analysis Unsupported
PROBLEMAS DE SAÚDE is an unsupported type, check if it needs cleaning or further analysis Unsupported
ÁUDIOMETRIA ALTERADA is an unsupported type, check if it needs cleaning or further analysis Unsupported
OTITES is an unsupported type, check if it needs cleaning or further analysis Unsupported
AV. OFTALMO. is an unsupported type, check if it needs cleaning or further analysis Unsupported
UTI is an unsupported type, check if it needs cleaning or further analysis Unsupported
USO ESPORÁDICO DE ÁLCOOL is an unsupported type, check if it needs cleaning or further analysis Unsupported
USO ESPORÁDICO DE DROGAS is an unsupported type, check if it needs cleaning or further analysis Unsupported
USO CRÔNICO DE ÁLCOOL is an unsupported type, check if it needs cleaning or further analysis Unsupported
USO CRÔNICO DE DROGAS is an unsupported type, check if it needs cleaning or further analysis Unsupported
USO CRÔNICO DE MEDICAM. is an unsupported type, check if it needs cleaning or further analysis Unsupported
DX NEURO./PSIQ. is an unsupported type, check if it needs cleaning or further analysis Unsupported
MEDIC. NEURO./PSIQ. is an unsupported type, check if it needs cleaning or further analysis Unsupported
TX NEURO (ANT.) is an unsupported type, check if it needs cleaning or further analysis Unsupported
TX NEURO (ATUAL) is an unsupported type, check if it needs cleaning or further analysis Unsupported
TX PSIQ. (ANT.) is an unsupported type, check if it needs cleaning or further analysis Unsupported
TX PSIQ. (ATUAL) is an unsupported type, check if it needs cleaning or further analysis Unsupported
TX PSIC. (ANT.) is an unsupported type, check if it needs cleaning or further analysis Unsupported
TX PSIC. (ATUAL) is an unsupported type, check if it needs cleaning or further analysis Unsupported
TX FONO (ANT.) is an unsupported type, check if it needs cleaning or further analysis Unsupported
TX FONO (ATUAL) is an unsupported type, check if it needs cleaning or further analysis Unsupported
TX PSICOPED. (ANT) is an unsupported type, check if it needs cleaning or further analysis Unsupported
TX PSICOPE. (ATUAL) is an unsupported type, check if it needs cleaning or further analysis Unsupported
ESCOLA PÚBLICA is an unsupported type, check if it needs cleaning or further analysis Unsupported
ANO ESCOLAR (ATUAL) is an unsupported type, check if it needs cleaning or further analysis Unsupported
Nº DE REPETÊNCIAS is an unsupported type, check if it needs cleaning or further analysis Unsupported
ID. DE INGRESSO ESC. (MESES) is an unsupported type, check if it needs cleaning or further analysis Unsupported
ID. DE INÍCIO DA DIFICULDADE (MESES) is an unsupported type, check if it needs cleaning or further analysis Unsupported
Nº DE SUSPENSÕES is an unsupported type, check if it needs cleaning or further analysis Unsupported
Nº DE EXPULSÕES is an unsupported type, check if it needs cleaning or further analysis Unsupported
BULLYING is an unsupported type, check if it needs cleaning or further analysis Unsupported
DIFICUL. PARA LER is an unsupported type, check if it needs cleaning or further analysis Unsupported
LEITURA LENTA is an unsupported type, check if it needs cleaning or further analysis Unsupported
COMP. ORAL is an unsupported type, check if it needs cleaning or further analysis Unsupported
DIFICUL. PARA ESCREVER is an unsupported type, check if it needs cleaning or further analysis Unsupported
TROCA OU OMITE LETRAS is an unsupported type, check if it needs cleaning or further analysis Unsupported
DIFICUL. COMPREENSÃO DA LEITURA is an unsupported type, check if it needs cleaning or further analysis Unsupported
DIFICUL. MATEMÁTICA is an unsupported type, check if it needs cleaning or further analysis Unsupported
DIFICUL. OUTRAS MATÉRIAS is an unsupported type, check if it needs cleaning or further analysis Unsupported
NECESSITA DE AJUDA P/ ESTUDO is an unsupported type, check if it needs cleaning or further analysis Unsupported
REFORÇO ESCOLAR is an unsupported type, check if it needs cleaning or further analysis Unsupported
QX DESATENÇÃO is an unsupported type, check if it needs cleaning or further analysis Unsupported
QX INQUIETUDE is an unsupported type, check if it needs cleaning or further analysis Unsupported
QX IMPULSIVIDADE is an unsupported type, check if it needs cleaning or further analysis Unsupported
HF de DE is an unsupported type, check if it needs cleaning or further analysis Unsupported
HF de REPETÊNCIA is an unsupported type, check if it needs cleaning or further analysis Unsupported
HF de EXPULSÕES/SUSPENSÕES is an unsupported type, check if it needs cleaning or further analysis Unsupported
HF QX de DESATENÇÃO is an unsupported type, check if it needs cleaning or further analysis Unsupported
HF QX de INQUIETUDE is an unsupported type, check if it needs cleaning or further analysis Unsupported
HF QX de IMPULSIVIDADE is an unsupported type, check if it needs cleaning or further analysis Unsupported
MORA C/ A MÃE is an unsupported type, check if it needs cleaning or further analysis Unsupported
MORA C/ O PAI is an unsupported type, check if it needs cleaning or further analysis Unsupported
MORA C/ O PADRASTO is an unsupported type, check if it needs cleaning or further analysis Unsupported
MORA C/ A MADRASTA is an unsupported type, check if it needs cleaning or further analysis Unsupported
MORA C/ ALGUM AVÔ/AVÓ is an unsupported type, check if it needs cleaning or further analysis Unsupported
Nº DE IRMÃOS is an unsupported type, check if it needs cleaning or further analysis Unsupported
Nº DE MORADORES NA CASA is an unsupported type, check if it needs cleaning or further analysis Unsupported
Nº DE QUARTOS is an unsupported type, check if it needs cleaning or further analysis Unsupported
FAMILIAR EM USO CRÔNICO DE ÁLCOOL is an unsupported type, check if it needs cleaning or further analysis Unsupported
FAMILIAR EM USO CRÔNICO DE DROGAS is an unsupported type, check if it needs cleaning or further analysis Unsupported
FAMILIAR C/ DIAGN. PSIQ. OU NEUROL. is an unsupported type, check if it needs cleaning or further analysis Unsupported
FAMILIAR EM USO DE MEDIC. NEUROL. is an unsupported type, check if it needs cleaning or further analysis Unsupported
RENDA MÉDIA MENSAL is an unsupported type, check if it needs cleaning or further analysis Unsupported
FEZ FONO is an unsupported type, check if it needs cleaning or further analysis Unsupported
QUALI_GRAFIA is an unsupported type, check if it needs cleaning or further analysis Unsupported
ESCR_COPIA is an unsupported type, check if it needs cleaning or further analysis Unsupported
VEL_COPIA is an unsupported type, check if it needs cleaning or further analysis Unsupported
ESCR_ORTO is an unsupported type, check if it needs cleaning or further analysis Unsupported
ERRO_ORTO is an unsupported type, check if it needs cleaning or further analysis Unsupported
ESCR_PROD is an unsupported type, check if it needs cleaning or further analysis Unsupported
LEIT_PRECIS is an unsupported type, check if it needs cleaning or further analysis Unsupported
ERRO_PRECIS is an unsupported type, check if it needs cleaning or further analysis Unsupported
VEL_PRECIS (PAL/MIN) is an unsupported type, check if it needs cleaning or further analysis Unsupported
LEIT_VIA is an unsupported type, check if it needs cleaning or further analysis Unsupported
LEIT_FLU is an unsupported type, check if it needs cleaning or further analysis Unsupported
LEIT_FLUENC_S is an unsupported type, check if it needs cleaning or further analysis Unsupported
LEIT_FLUENC_O is an unsupported type, check if it needs cleaning or further analysis Unsupported
LEIT_COMPR is an unsupported type, check if it needs cleaning or further analysis Unsupported
DISLEXIA is an unsupported type, check if it needs cleaning or further analysis Unsupported

Variables

Nome
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct count78
Unique (%)98.7%
Missing0
Missing (%)0.0%
Memory size632.0 B
João Pedro Mota Longaray
 
2
Laura Prates Weissmann REAVALIAÇÃO
 
1
Maria Luiza Gaspar Luiz
 
1
Matheus Schmidt Lippert de Almeida
 
1
Kellen Ariane Medeiros Rohde
 
1
Other values (73)
73
ValueCountFrequency (%) 
João Pedro Mota Longaray22.5%
 
Laura Prates Weissmann REAVALIAÇÃO11.3%
 
Maria Luiza Gaspar Luiz11.3%
 
Matheus Schmidt Lippert de Almeida11.3%
 
Kellen Ariane Medeiros Rohde11.3%
 
Joao Francisco dos Santos Passos Varela11.3%
 
Luan Flores Santos11.3%
 
Andrio Velho Gomes11.3%
 
Roger Ferreira Seixas11.3%
 
Richard da Silva Jaboc 11.3%
 
Other values (68)6886.1%
 
2021-04-25T22:49:16.442820image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length39
Median length23
Mean length23.35443038
Min length10

DX
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

FEZ QI
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4
Missing (%)5.1%
Memory size1.2 KiB

QI Nº
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

SIGNIFICADO
Categorical

MISSING

Distinct count24
Unique (%)31.2%
Missing2
Missing (%)2.5%
Memory size632.0 B
Médio
12
média
10
médio
9
Médio Inferior
 
6
médio inferior
 
5
Other values (19)
35
ValueCountFrequency (%) 
Médio1215.2%
 
média1012.7%
 
médio911.4%
 
Médio Inferior67.6%
 
médio inferior56.3%
 
EX56.3%
 
superior45.1%
 
médio superior45.1%
 
média superior33.8%
 
Médio Superior22.5%
 
Other values (14)1721.5%
 
2021-04-25T22:49:16.693013image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length14
Median length5
Mean length8.227848101
Min length2

Ordem direta bruto
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

Span direto
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

Ordem inversa bruto
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

span inverso
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

CHAMAR fMRI?
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing5
Missing (%)6.3%
Memory size1.2 KiB

FEZ fMRI?
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing10
Missing (%)12.7%
Memory size1.2 KiB

DEV.
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing5
Missing (%)6.3%
Memory size1.2 KiB

DATA NASC.
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3
Missing (%)3.8%
Memory size1.2 KiB

DATA INGR.
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3
Missing (%)3.8%
Memory size1.2 KiB

SEXO
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

IDADE (meses)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

NOME DO RESPONSÁVEL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

TEL1
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

TEL 2
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing5
Missing (%)6.3%
Memory size1.2 KiB

CANHOTO
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing5
Missing (%)6.3%
Memory size1.2 KiB

PESO (GRAMAS)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

PREMATURO
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

INTERNAÇÃO PERINATAL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

CAMINHAR (MESES)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

FALAR (MESES)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

PROBLEMAS DE SAÚDE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4
Missing (%)5.1%
Memory size1.2 KiB

ÁUDIOMETRIA ALTERADA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

OTITES
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3
Missing (%)3.8%
Memory size1.2 KiB

AV. OFTALMO.
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

UTI
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

USO ESPORÁDICO DE ÁLCOOL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

USO ESPORÁDICO DE DROGAS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

USO CRÔNICO DE ÁLCOOL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

USO CRÔNICO DE DROGAS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

USO CRÔNICO DE MEDICAM.
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

DX NEURO./PSIQ.
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

MEDIC. NEURO./PSIQ.
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

TX NEURO (ANT.)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3
Missing (%)3.8%
Memory size1.2 KiB

TX NEURO (ATUAL)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

TX PSIQ. (ANT.)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3
Missing (%)3.8%
Memory size1.2 KiB

TX PSIQ. (ATUAL)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

TX PSIC. (ANT.)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3
Missing (%)3.8%
Memory size1.2 KiB

TX PSIC. (ATUAL)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3
Missing (%)3.8%
Memory size1.2 KiB

TX FONO (ANT.)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

TX FONO (ATUAL)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

TX PSICOPED. (ANT)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3
Missing (%)3.8%
Memory size1.2 KiB

TX PSICOPE. (ATUAL)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3
Missing (%)3.8%
Memory size1.2 KiB

ESCOLA PÚBLICA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3
Missing (%)3.8%
Memory size1.2 KiB

ANO ESCOLAR (ATUAL)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

Nº DE REPETÊNCIAS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

ID. DE INGRESSO ESC. (MESES)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

ID. DE INÍCIO DA DIFICULDADE (MESES)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

Nº DE SUSPENSÕES
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

Nº DE EXPULSÕES
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

BULLYING
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

DIFICUL. PARA LER
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

LEITURA LENTA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

COMP. ORAL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

DIFICUL. PARA ESCREVER
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

TROCA OU OMITE LETRAS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

DIFICUL. COMPREENSÃO DA LEITURA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

DIFICUL. MATEMÁTICA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

DIFICUL. OUTRAS MATÉRIAS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

NECESSITA DE AJUDA P/ ESTUDO
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

REFORÇO ESCOLAR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

QX DESATENÇÃO
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3
Missing (%)3.8%
Memory size1.2 KiB

QX INQUIETUDE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3
Missing (%)3.8%
Memory size1.2 KiB

QX IMPULSIVIDADE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3
Missing (%)3.8%
Memory size1.2 KiB

HF de DE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

HF de REPETÊNCIA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

HF de EXPULSÕES/SUSPENSÕES
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

HF QX de DESATENÇÃO
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

HF QX de INQUIETUDE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

HF QX de IMPULSIVIDADE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

MORA C/ A MÃE
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

MORA C/ O PAI
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

MORA C/ O PADRASTO
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

MORA C/ A MADRASTA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

MORA C/ ALGUM AVÔ/AVÓ
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

Nº DE IRMÃOS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

Nº DE MORADORES NA CASA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

Nº DE QUARTOS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

FAMILIAR EM USO CRÔNICO DE ÁLCOOL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

FAMILIAR EM USO CRÔNICO DE DROGAS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

FAMILIAR C/ DIAGN. PSIQ. OU NEUROL.
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

FAMILIAR EM USO DE MEDIC. NEUROL.
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

RENDA MÉDIA MENSAL
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing2
Missing (%)2.5%
Memory size1.2 KiB

FEZ FONO
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing6
Missing (%)7.6%
Memory size1.2 KiB

FONOAUDIÓLOGA (NOME)
Categorical

MISSING

Distinct count11
Unique (%)14.3%
Missing2
Missing (%)2.5%
Memory size632.0 B
Rudineia Toazza
29
Ana Bassôa
18
Vanessa Rocha
11
EX
6
Adriana
 
4
Other values (6)
9
ValueCountFrequency (%) 
Rudineia Toazza2936.7%
 
Ana Bassôa1822.8%
 
Vanessa Rocha1113.9%
 
EX67.6%
 
Adriana45.1%
 
Adriana Costa33.8%
 
Patricia Hoffmeister22.5%
 
ANa Bassôa11.3%
 
rudineia toazza11.3%
 
Ana Bassoa11.3%
 
(Missing)22.5%
 
2021-04-25T22:49:16.969492image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length20
Median length13
Mean length11.64556962
Min length2

QUALI_GRAFIA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4
Missing (%)5.1%
Memory size1.2 KiB

ESCR_COPIA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4
Missing (%)5.1%
Memory size1.2 KiB

VEL_COPIA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4
Missing (%)5.1%
Memory size1.2 KiB

ESCR_ORTO
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4
Missing (%)5.1%
Memory size1.2 KiB

ERRO_ORTO
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4
Missing (%)5.1%
Memory size1.2 KiB

ESCR_PROD
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4
Missing (%)5.1%
Memory size1.2 KiB

LEIT_PRECIS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4
Missing (%)5.1%
Memory size1.2 KiB

ERRO_PRECIS
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4
Missing (%)5.1%
Memory size1.2 KiB

VEL_PRECIS (PAL/MIN)
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4
Missing (%)5.1%
Memory size1.2 KiB

LEIT_VIA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing6
Missing (%)7.6%
Memory size1.2 KiB

LEIT_FLU
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4
Missing (%)5.1%
Memory size1.2 KiB

LEIT_FLUENC_S
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing5
Missing (%)6.3%
Memory size1.2 KiB

LEIT_FLUENC_O
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4
Missing (%)5.1%
Memory size1.2 KiB

LEIT_COMPR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4
Missing (%)5.1%
Memory size1.2 KiB

DISLEXIA
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4
Missing (%)5.1%
Memory size1.2 KiB

TrueFalse
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count69
Unique (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.31645569620253
Minimum1
Maximum102
Zeros0
Zeros (%)0.0%
Memory size632.0 B
2021-04-25T22:49:17.187125image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.9
Q122.5
median56
Q372.5
95-th percentile100.1
Maximum102
Range101
Interquartile range (IQR)50

Descriptive statistics

Standard deviation30.91574336
Coefficient of variation (CV)0.6144260944
Kurtosis-1.23471005
Mean50.3164557
Median Absolute Deviation (MAD)26
Skewness0.02747448947
Sum3975
Variance955.7831873
2021-04-25T22:49:17.372268image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10233.8%
 
6733.8%
 
7122.5%
 
9822.5%
 
5422.5%
 
8322.5%
 
822.5%
 
6022.5%
 
2611.3%
 
2211.3%
 
Other values (59)5974.7%
 
ValueCountFrequency (%) 
111.3%
 
211.3%
 
311.3%
 
511.3%
 
611.3%
 
ValueCountFrequency (%) 
10233.8%
 
10111.3%
 
10011.3%
 
9911.3%
 
9822.5%
 

fMRI participant #
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count69
Unique (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.31645569620253
Minimum1
Maximum102
Zeros0
Zeros (%)0.0%
Memory size632.0 B
2021-04-25T22:49:17.607156image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.9
Q122.5
median56
Q372.5
95-th percentile100.1
Maximum102
Range101
Interquartile range (IQR)50

Descriptive statistics

Standard deviation30.91574336
Coefficient of variation (CV)0.6144260944
Kurtosis-1.23471005
Mean50.3164557
Median Absolute Deviation (MAD)26
Skewness0.02747448947
Sum3975
Variance955.7831873
2021-04-25T22:49:17.787727image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10233.8%
 
6733.8%
 
7122.5%
 
9822.5%
 
5422.5%
 
8322.5%
 
822.5%
 
6022.5%
 
2611.3%
 
2211.3%
 
Other values (59)5974.7%
 
ValueCountFrequency (%) 
111.3%
 
211.3%
 
311.3%
 
511.3%
 
611.3%
 
ValueCountFrequency (%) 
10233.8%
 
10111.3%
 
10011.3%
 
9911.3%
 
9822.5%
 

Patient NAME
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct count69
Unique (%)87.3%
Missing0
Missing (%)0.0%
Memory size632.0 B
João Pedro Mota de Longaray
 
3
Maria Luiza Gaspar
 
3
Renan Henrique dos Santos
 
2
Guilherme Santos Streit
 
2
João Gabriel Brasil da Silva
 
2
Other values (64)
67
ValueCountFrequency (%) 
João Pedro Mota de Longaray33.8%
 
Maria Luiza Gaspar33.8%
 
Renan Henrique dos Santos22.5%
 
Guilherme Santos Streit22.5%
 
João Gabriel Brasil da Silva22.5%
 
Brenda Leandro Maia22.5%
 
Laura Prates Weismann22.5%
 
João Victor Lopes Martins22.5%
 
Laura Costa Rodrigues11.3%
 
Pedro Henrique de Freitas da Silveira11.3%
 
Other values (59)5974.7%
 
2021-04-25T22:49:18.009374image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length37
Median length22
Mean length22.3164557
Min length10

Age
Real number (ℝ≥0)

Distinct count7
Unique (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.683544303797468
Minimum8
Maximum14
Zeros0
Zeros (%)0.0%
Memory size632.0 B
2021-04-25T22:49:18.195129image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile9
Q110
median10
Q311.5
95-th percentile13
Maximum14
Range6
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.344926876
Coefficient of variation (CV)0.1258877052
Kurtosis-0.2306065848
Mean10.6835443
Median Absolute Deviation (MAD)1
Skewness0.4403811906
Sum844
Variance1.808828302
2021-04-25T22:49:18.386361image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
102632.9%
 
111924.1%
 
91215.2%
 
121113.9%
 
1378.9%
 
1422.5%
 
822.5%
 
ValueCountFrequency (%) 
822.5%
 
91215.2%
 
102632.9%
 
111924.1%
 
121113.9%
 
ValueCountFrequency (%) 
1422.5%
 
1378.9%
 
121113.9%
 
111924.1%
 
102632.9%
 

QI
Real number (ℝ≥0)

MISSING

Distinct count21
Unique (%)51.2%
Missing38
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean105.7560975609756
Minimum85.0
Maximum144.0
Zeros0
Zeros (%)0.0%
Memory size632.0 B
2021-04-25T22:49:18.570803image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum85
5-th percentile88
Q194
median106
Q3115
95-th percentile129
Maximum144
Range59
Interquartile range (IQR)21

Descriptive statistics

Standard deviation13.93875979
Coefficient of variation (CV)0.1318010035
Kurtosis-0.05236622852
Mean105.7560976
Median Absolute Deviation (MAD)12
Skewness0.5972056441
Sum4336
Variance194.2890244
2021-04-25T22:49:18.764284image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
9456.3%
 
11245.1%
 
10333.8%
 
12633.8%
 
10633.8%
 
8822.5%
 
8522.5%
 
12922.5%
 
9222.5%
 
11522.5%
 
Other values (11)1316.5%
 
(Missing)3848.1%
 
ValueCountFrequency (%) 
8522.5%
 
8822.5%
 
9111.3%
 
9222.5%
 
9322.5%
 
ValueCountFrequency (%) 
14411.3%
 
12922.5%
 
12633.8%
 
11811.3%
 
11622.5%
 

Protocol
Categorical

Distinct count4
Unique (%)5.1%
Missing0
Missing (%)0.0%
Memory size632.0 B
AMBAC
54
Lucas / AMBAC / Mari
14
Lucas / AMBAC
 
10
AMBAC / Mari
 
1
ValueCountFrequency (%) 
AMBAC5468.4%
 
Lucas / AMBAC / Mari1417.7%
 
Lucas / AMBAC1012.7%
 
AMBAC / Mari11.3%
 
2021-04-25T22:49:19.002713image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length20
Median length5
Mean length8.759493671
Min length5

Group
Categorical

HIGH CORRELATION

Distinct count3
Unique (%)3.8%
Missing0
Missing (%)0.0%
Memory size183.0 B
Dislex
69
Dificuldade de Aprendizagem
 
6
Controle
 
4
ValueCountFrequency (%) 
Dislex6987.3%
 
Dificuldade de Aprendizagem67.6%
 
Controle45.1%
 
2021-04-25T22:49:19.244696image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length27
Median length6
Mean length7.696202532
Min length6

Comentários
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct count38
Unique (%)79.2%
Missing31
Missing (%)39.2%
Memory size632.0 B
Não fez o Self. Não terminou o resting-state
 
3
PALA1, PALA2, SELF1 e SELF2 foram coletados com TR = 1.95s. Não usar essas tarefas
 
3
Foi no banheiro no Amb. Passou o Self II muito rápido. FIcou cansado no final (rst e pseudo)
 
2
Teve que realizar Imagem T1 duas vezes pq se movimentou
 
2
Estudo está como: "e+1 AMBAC". Houve falhas no cadastro e foi preciso alterar a idade do paciente
 
2
Other values (33)
36
ValueCountFrequency (%) 
Não fez o Self. Não terminou o resting-state33.8%
 
PALA1, PALA2, SELF1 e SELF2 foram coletados com TR = 1.95s. Não usar essas tarefas33.8%
 
Foi no banheiro no Amb. Passou o Self II muito rápido. FIcou cansado no final (rst e pseudo)22.5%
 
Teve que realizar Imagem T1 duas vezes pq se movimentou22.5%
 
Estudo está como: "e+1 AMBAC". Houve falhas no cadastro e foi preciso alterar a idade do paciente22.5%
 
Real-time detectou movimento e o exame foi reiniciado. (PSEUDO1)22.5%
 
Acabou o Self I e II antes do tempo, então paramos o experimento antes do previsto. Realtime não funcionou22.5%
 
Descartar: paciente canhota22.5%
 
Problemas técnicos no Fasloc 1 e 2 - rodado 2 vezes o mesmo fastloc e timing incorreto. Self1 2x repetido porque button box estava com configuração errada. Self2 foi finalizado antes porque terminou o paradigma. Pala1 repetido por causa do movimento. SELF1 e PALA1 sem real time.11.3%
 
Não possui RST nem no PACS11.3%
 
Other values (28)2835.4%
 
(Missing)3139.2%
 
2021-04-25T22:49:19.480523image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length279
Median length40
Mean length51.86075949
Min length1

fmri_id
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct count69
Unique (%)87.3%
Missing0
Missing (%)0.0%
Memory size632.0 B
102
 
3
067
 
3
098
 
2
060
 
2
054
 
2
Other values (64)
67
ValueCountFrequency (%) 
10233.8%
 
06733.8%
 
09822.5%
 
06022.5%
 
05422.5%
 
07122.5%
 
00822.5%
 
08322.5%
 
01911.3%
 
10011.3%
 
Other values (59)5974.7%
 
2021-04-25T22:49:19.714477image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

correlation_matrix
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct count56
Unique (%)88.9%
Missing16
Missing (%)20.3%
Memory size632.0 B
correlation_matrix/AMBAC067.txt
 
3
correlation_matrix/AMBAC060.txt
 
2
correlation_matrix/AMBAC054.txt
 
2
correlation_matrix/AMBAC071.txt
 
2
correlation_matrix/AMBAC083.txt
 
2
Other values (51)
52
ValueCountFrequency (%) 
correlation_matrix/AMBAC067.txt33.8%
 
correlation_matrix/AMBAC060.txt22.5%
 
correlation_matrix/AMBAC054.txt22.5%
 
correlation_matrix/AMBAC071.txt22.5%
 
correlation_matrix/AMBAC083.txt22.5%
 
correlation_matrix/AMBAC098.txt22.5%
 
correlation_matrix/AMBAC059.txt11.3%
 
correlation_matrix/AMBAC027.txt11.3%
 
correlation_matrix/AMBAC007.txt11.3%
 
correlation_matrix/AMBAC035.txt11.3%
 
Other values (46)4658.2%
 
(Missing)1620.3%
 
2021-04-25T22:49:19.962914image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length31
Median length31
Mean length25.32911392
Min length3

fmri_code
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct count69
Unique (%)87.3%
Missing0
Missing (%)0.0%
Memory size632.0 B
AMBAC102
 
3
AMBAC067
 
3
AMBAC083
 
2
AMBAC098
 
2
AMBAC060
 
2
Other values (64)
67
ValueCountFrequency (%) 
AMBAC10233.8%
 
AMBAC06733.8%
 
AMBAC08322.5%
 
AMBAC09822.5%
 
AMBAC06022.5%
 
AMBAC05422.5%
 
AMBAC00822.5%
 
AMBAC07122.5%
 
AMBAC07711.3%
 
AMBAC06611.3%
 
Other values (59)5974.7%
 
2021-04-25T22:49:20.244394image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Group_cat
Categorical

HIGH CORRELATION

Distinct count3
Unique (%)3.8%
Missing0
Missing (%)0.0%
Memory size79.0 B
2
69
1
 
6
0
 
4
ValueCountFrequency (%) 
26987.3%
 
167.6%
 
045.1%
 
2021-04-25T22:49:20.484377image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Interactions

2021-04-25T22:48:29.327694image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:29.544742image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:29.734946image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:29.934518image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:30.122724image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:30.316617image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:30.511814image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:30.709975image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:30.901572image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:31.112589image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:31.311012image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:31.519006image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:31.712494image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:31.899437image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:32.096496image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:32.292341image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Correlations

2021-04-25T22:49:20.682021image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-04-25T22:49:20.945601image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-04-25T22:49:21.201768image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-04-25T22:49:21.959146image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2021-04-25T22:49:26.926338image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-04-25T22:48:34.079864image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:49.007580image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:48:56.952694image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T22:49:14.479505image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Sample

First rows

NomeDXFEZ QIQI NºSIGNIFICADOOrdem direta brutoSpan diretoOrdem inversa brutospan inversoCHAMAR fMRI?FEZ fMRI?DEV.DATA NASC.DATA INGR.SEXOIDADE (meses)NOME DO RESPONSÁVELTEL1TEL 2CANHOTOPESO (GRAMAS)PREMATUROINTERNAÇÃO PERINATALCAMINHAR (MESES)FALAR (MESES)PROBLEMAS DE SAÚDEÁUDIOMETRIA ALTERADAOTITESAV. OFTALMO.UTIUSO ESPORÁDICO DE ÁLCOOLUSO ESPORÁDICO DE DROGASUSO CRÔNICO DE ÁLCOOLUSO CRÔNICO DE DROGASUSO CRÔNICO DE MEDICAM.DX NEURO./PSIQ.MEDIC. NEURO./PSIQ.TX NEURO (ANT.)TX NEURO (ATUAL)TX PSIQ. (ANT.)TX PSIQ. (ATUAL)TX PSIC. (ANT.)TX PSIC. (ATUAL)TX FONO (ANT.)TX FONO (ATUAL)TX PSICOPED. (ANT)TX PSICOPE. (ATUAL)ESCOLA PÚBLICAANO ESCOLAR (ATUAL)Nº DE REPETÊNCIASID. DE INGRESSO ESC. (MESES)ID. DE INÍCIO DA DIFICULDADE (MESES)Nº DE SUSPENSÕESNº DE EXPULSÕESBULLYINGDIFICUL. PARA LERLEITURA LENTACOMP. ORALDIFICUL. PARA ESCREVERTROCA OU OMITE LETRASDIFICUL. COMPREENSÃO DA LEITURADIFICUL. MATEMÁTICADIFICUL. OUTRAS MATÉRIASNECESSITA DE AJUDA P/ ESTUDOREFORÇO ESCOLARQX DESATENÇÃOQX INQUIETUDEQX IMPULSIVIDADEHF de DEHF de REPETÊNCIAHF de EXPULSÕES/SUSPENSÕESHF QX de DESATENÇÃOHF QX de INQUIETUDEHF QX de IMPULSIVIDADEMORA C/ A MÃEMORA C/ O PAIMORA C/ O PADRASTOMORA C/ A MADRASTAMORA C/ ALGUM AVÔ/AVÓNº DE IRMÃOSNº DE MORADORES NA CASANº DE QUARTOSFAMILIAR EM USO CRÔNICO DE ÁLCOOLFAMILIAR EM USO CRÔNICO DE DROGASFAMILIAR C/ DIAGN. PSIQ. OU NEUROL.FAMILIAR EM USO DE MEDIC. NEUROL.RENDA MÉDIA MENSALFEZ FONOFONOAUDIÓLOGA (NOME)QUALI_GRAFIAESCR_COPIAVEL_COPIAESCR_ORTOERRO_ORTOESCR_PRODLEIT_PRECISERRO_PRECISVEL_PRECIS (PAL/MIN)LEIT_VIALEIT_FLULEIT_FLUENC_SLEIT_FLUENC_OLEIT_COMPRDISLEXIATrueFalsefMRI participant #Patient NAMEAgeQIProtocolGroupComentáriosfmri_idcorrelation_matrixfmri_codeGroup_cat
0Brenda Leandro Maia5183médio inf.NCNCNCNC12116.12.0219.11.131131999344663539991SASASASASASASASASASASASASASASASASASASASASASASASASASASA141SASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASA1Adriana23431812145243268501388Brenda Leandro Maia10NaNAMBACDificuldade de AprendizagemDescartar: paciente canhota008NaNAMBAC0081
1Brendha Machado MaiaEXEXEXEX4300EXEXEX2009-05-24 00:00:002018-11-07 00:00:001114Bárbara Fabiana Macado Maia984117989 (mãe)985435646 (pai)226551110121NS21222222112211112221130218400121111112111121121111122215322112000EXEXEXEXEXEXEXEXEXEXEXEXEXEXEXEXEX88Brenda Leandro Maia10NaNAMBACDificuldade de AprendizagemDescartar: paciente canhota008NaNAMBAC0081
2Estevão de Oliveira Guimarães41103médioNCNCNCNC11123.04.0222.11.13213999984220458930454492SASASASASASASASASASASASASASASASASASASASASASASASASASASA151SASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASA1Adriana21281411182253138472122Estevão de Oliveira Guima11103.0AMBACDislexNaN002correlation_matrix/AMBAC002.txtAMBAC0022
3Gregory Moraes Pires do Amaral4185médio inf.NCNCNCNC12112.06.0208.11.1321379999223.153266.171SASASASASASASASASASASASASASASASASASASASASASASASASASASA161SASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASA1Adriana Costa11181431120371174733111Gregory Morais Pires11NaNAMBACDislexNaN001NaNAMBAC0012
4Kellen Ariane Medeiros Rohde41112médio superiorNCNCNCNC11107.01.200406.12.13111999934421855999NaNSASASASASASASASASASASASASASASASASASASASASASASASASASASA131SASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASA1Adriana31151741145253146572177Kellen Ariane Rohde9112.0AMBACDislexPseudopalavra tinha sido rodado duas vezes. Paciente foi reavaliada. Descartar fMRI anterior. Utilizar o do dia 27/8 (FEITO)007correlation_matrix/AMBAC007.txtAMBAC0072
5Larissa Correa Pires2194médioNCNCNCNC11109.04.0015.10.1311639998414520096619405NaNSASASASASASASASASASASASASASASASASASASASASASASASASASASA160SASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASA1Adriana22491451122431196952299Larissa Pires1394.0AMBACDificuldade de AprendizagemNaN009correlation_matrix/AMBAC009.txtAMBAC0091
6Livia Freitas Larroque41103MédiaNCNCNCNC11123.09.0412.03.1411149998436.023314.882SASASASASASASASASASASASASASASASASASASASASASASASASASASA131SASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASA1Rudineia Toazza2223INCINCINCINCINCINCINCINCINCINCINC155Livia Freitas Larroque9103.0AMBACDislexTeve que realizar Imagem T1 duas vezes pq se movimentou005correlation_matrix/AMBAC005.txtAMBAC0052
7Alisson Patrick Machado4185média inferiorNCNCNCNC11106.10.032013-11-07 00:00:0021179999852.559992SASASASASASASASASASASASASASASASASASASASASASASASASASASA141SASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASA1Rudineia Toazza121919911421131172167111313Alisson Patrick Machado1085.0AMBACDislexNão possui RST nem no PACS013NaNAMBAC0132
8Gabriel Nunes Ferreira41126SuperiorNCNCNCNC11118/01/052013-11-06 00:00:0021029999757.13330.612SASASASASASASASASASASASASASASASASASASASASASASASASASASA23060SASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASA1Rudineia Toazza1225148123363131252166Gabriel Nunes Ferreira9126.0AMBACDislexNaN006correlation_matrix/AMBAC006.txtAMBAC0062
9Bruno da Costa Rangel41144mto superiorNCNCNCNC111NaNNaN21089993459.3903 8185.57189992SASASASASASASASASASASASASASASASASASASASASASASASASASASA13072SASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASA1Rudineia Toazza321027512609311514111010Bruno da Costa Rangel9144.0AMBACDislexNaN010correlation_matrix/AMBAC010.txtAMBAC0102

Last rows

NomeDXFEZ QIQI NºSIGNIFICADOOrdem direta brutoSpan diretoOrdem inversa brutospan inversoCHAMAR fMRI?FEZ fMRI?DEV.DATA NASC.DATA INGR.SEXOIDADE (meses)NOME DO RESPONSÁVELTEL1TEL 2CANHOTOPESO (GRAMAS)PREMATUROINTERNAÇÃO PERINATALCAMINHAR (MESES)FALAR (MESES)PROBLEMAS DE SAÚDEÁUDIOMETRIA ALTERADAOTITESAV. OFTALMO.UTIUSO ESPORÁDICO DE ÁLCOOLUSO ESPORÁDICO DE DROGASUSO CRÔNICO DE ÁLCOOLUSO CRÔNICO DE DROGASUSO CRÔNICO DE MEDICAM.DX NEURO./PSIQ.MEDIC. NEURO./PSIQ.TX NEURO (ANT.)TX NEURO (ATUAL)TX PSIQ. (ANT.)TX PSIQ. (ATUAL)TX PSIC. (ANT.)TX PSIC. (ATUAL)TX FONO (ANT.)TX FONO (ATUAL)TX PSICOPED. (ANT)TX PSICOPE. (ATUAL)ESCOLA PÚBLICAANO ESCOLAR (ATUAL)Nº DE REPETÊNCIASID. DE INGRESSO ESC. (MESES)ID. DE INÍCIO DA DIFICULDADE (MESES)Nº DE SUSPENSÕESNº DE EXPULSÕESBULLYINGDIFICUL. PARA LERLEITURA LENTACOMP. ORALDIFICUL. PARA ESCREVERTROCA OU OMITE LETRASDIFICUL. COMPREENSÃO DA LEITURADIFICUL. MATEMÁTICADIFICUL. OUTRAS MATÉRIASNECESSITA DE AJUDA P/ ESTUDOREFORÇO ESCOLARQX DESATENÇÃOQX INQUIETUDEQX IMPULSIVIDADEHF de DEHF de REPETÊNCIAHF de EXPULSÕES/SUSPENSÕESHF QX de DESATENÇÃOHF QX de INQUIETUDEHF QX de IMPULSIVIDADEMORA C/ A MÃEMORA C/ O PAIMORA C/ O PADRASTOMORA C/ A MADRASTAMORA C/ ALGUM AVÔ/AVÓNº DE IRMÃOSNº DE MORADORES NA CASANº DE QUARTOSFAMILIAR EM USO CRÔNICO DE ÁLCOOLFAMILIAR EM USO CRÔNICO DE DROGASFAMILIAR C/ DIAGN. PSIQ. OU NEUROL.FAMILIAR EM USO DE MEDIC. NEUROL.RENDA MÉDIA MENSALFEZ FONOFONOAUDIÓLOGA (NOME)QUALI_GRAFIAESCR_COPIAVEL_COPIAESCR_ORTOERRO_ORTOESCR_PRODLEIT_PRECISERRO_PRECISVEL_PRECIS (PAL/MIN)LEIT_VIALEIT_FLULEIT_FLUENC_SLEIT_FLUENC_OLEIT_COMPRDISLEXIATrueFalsefMRI participant #Patient NAMEAgeQIProtocolGroupComentáriosfmri_idcorrelation_matrixfmri_codeGroup_cat
69João Paulo Carvalho4189Médio Inferior56461112009-03-01 00:00:002018-12-04 00:00:002117Romana Modesto54 996984005 (mãe)NaN2287511143011111222221221222211221407284002111111111111111221111222453222220001Rudineia Toazza3225172112019314335147575João Paulo Carvalho9NaNLucas / AMBACDislexSelf 1 terminou antes e não terminou Self 2075correlation_matrix/AMBAC075.txtAMBAC0752
70Vicente Bartmer Alves Nunes4188Médio Inferior64541112008-01-15 00:00:002019-01-18 00:00:002132Nicole Bartmer Alves55 997155489 (mãe)55 9997699882288522121212NaN22222211112111222111607272001111111111122222212212122044222260001Rudineia Toazza2234151111736318885247676Vicente Bartmer Alves Nunes11NaNLucas / AMBACDislexLocalizador 1 mexeu muito. Flair muito movimento. Fastloc I computador travou, fez de novo e fastloc II mexeu muito, fez de novo. Pseudo II não terminou/movimento 2 vezes e fez de novo. Resting state não terminou/movimento, fez de novo076correlation_matrix/AMBAC076.txtAMBAC0762
71Julia Teixeira Dutra da Silva4196Médio85441NaNNaN14/08/20082019-04-09 00:00:001133Alessandra Henriques Texeira998480651996357203228152211141NS1NS2222222222222222221501296002111111211222221222211222143221130001Rudineia Toazza2333152112313312524249797Julia Teixeira Dutra1196.0Lucas / AMBAC / MariDislexNão fez todo o protocolo. Fez o Self I mas não está escrito no scanlog. Interrompido no self I097NaNAMBAC0972
72João Gabriel Brasil da Silva4192Médio86761NaN130/05/200718/10/20192144Carolina Domingues Brasil(51)984213775(51)992662554 avó2355021141422122222211111221222122616072002111111211212211211112221033111260001Vanessa Rocha245812914152942127107149898João Gabriel Brasil da Silva1292.0Lucas / AMBAC / MariDislexFoi no banheiro no Amb. Passou o Self II muito rápido. FIcou cansado no final (rst e pseudo)098correlation_matrix/AMBAC098.txtAMBAC0982
73Gabriel Alves da Silva2187Médio Inferior856522130/05/20092019-08-11 00:00:002126Rosana Alves Moita(53)991216316(53)991870517233202212182ns1ns2222222212222222221408484002221111121211111111111222032111116001Vanessa Rocha24574191424244138130429898João Gabriel Brasil da Silva1292.0Lucas / AMBAC / MariDislexFoi no banheiro no Amb. Passou o Self II muito rápido. FIcou cansado no final (rst e pseudo)098correlation_matrix/AMBAC098.txtAMBAC0982
74Luiza Luvizatto Drachler4193Médio6543NaNNaNNaN31/01/200925/10/20191120Claudia Luvizetto da Silva(51)982325232(51) 991820707 avó Maria Helena23.942214242ns212222211111221112211417272001111111221222211222212222232221145001Patricia Hoffmeister212715521351131282821100100Luiza Luvizetto Drachler1093.0Lucas / AMBAC / MariDislexFez duas estruturais pois se mexeu muito na primeira. Parou na metade da tarefa pseudo 2100NaNAMBAC1002
75Maria Luiza Gaspar Luiz4197Médio6543NaNNaNNaN24/01/201013/11/20191118Cristiane Silva Gaspar98620816730191124231002214242NS2222222222222211222124007200221111111111221121111222202112112000NaNPatricia Hoffmeister126225612192832938521102102Maria Luiza Gaspar10NaNLucas / AMBAC / MariDislexNão fez o Self. Não terminou o resting-state102NaNAMBAC1022
76Maria Luiza Paz BastosNaN1100Médio9654NaNNaNNaN28/08/20092020-07-01 00:00:001120Karine Paz Aguero985342719 (mãe)984756883 (pai)231152211121222222222222222121222132728400111111122111121111121122225211122200NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN102102Maria Luiza Gaspar10NaNLucas / AMBAC / MariDislexNão fez o Self. Não terminou o resting-state102NaNAMBAC1022
77Maria Luiza da Rosa BenderNaNNaNNaNNaN6564NaNNaNNaN2008-09-09 00:00:002020-06-02 00:00:001136Roselaine da Rosa991138995 (mãe)32374193 (residencial)232002212922212222211122221222211431087200111111121111121121121222243311112400NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN102102Maria Luiza Gaspar10NaNLucas / AMBAC / MariDislexNão fez o Self. Não terminou o resting-state102NaNAMBAC1022
78Larissa Loureiro de Souza4196Médio86651NaN1NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1Vanessa Rocha223016911321641202221101101Larissa Loureiro de Souza10NaNLucas / AMBAC / MariDislexNão conseguiu ler o Ambiguidades. Não terminou o Self I nem o II. Não conseguiu responder o Pseudo I, por isso o Pseudo II não foi feito101correlation_matrix/AMBAC101.txtAMBAC1012